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Analyze and Interact with Millions of Points of Geospatial Data on the Fly

By Hari Subhash | November 2, 2021

Spatial data analysis is computationally intensive. Most solutions grind to a crawl at a few million points. But recent advances in parallel computing create opportunities to challenge these computational constraints. Kinetica’s vectorized spatial function library can perform computations on the fly on massive amounts of spatial data.  Matthew Brown shows us some of these capabilities…

Spatial Analytics: Optimizing Graphs on Geospatial Features

By Saif Ahmed | October 18, 2021

Our sat nav gives us options of the shortest route home, or avoiding tolls or highways. But what if we want the most scenic route home, or the most well-lit? Learn how to do this using a road networks as graphs, geo-spatial features as graph networks and graph optimizations.

Introducing Kinetica on Azure

By Phil Darringer | October 13, 2021

Kinetica recently introduced a new native Azure Marketplace experience.  Now, it’s easier than ever to get started with the Database for Time and Space. With just a few clicks, you will be able to provision Kinetica from the Azure Marketplace into your Azure subscription.  With the free tier (size Extra Small) and pay as you…

Getting Started with Geospatial Functions

By Hari Subhash | August 26, 2021

Geospatial data is any data that has a geographic component to it. A geographic component simply implies a location (or a set of locations) that can take the form of simple points on a map with latitude and longitude coordinates or more complex shapes that describe lines and boundaries, or even elevation. Examples could include…

How to Optimize Supply Chains for COVID Vaccine Distribution using Geospatial Graphs

By Saif Ahmed | August 10, 2021

Multiple Supply Demand Chain Optimization (MSDO), is a common logistical problem where there are multiple sources and sinks and you’re looking for the most optimal delivery routes.

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